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Typo Detector Distilbert Is

Developed by m3hrdadfi
A DistilBERT-based Icelandic typo detection model capable of identifying spelling errors in text.
Downloads 15
Release Time : 3/2/2022

Model Overview

This model uses NER (Named Entity Recognition) technology to detect spelling errors in Icelandic text, suitable for proofreading and quality control scenarios.

Model Features

High-precision detection
The model achieves an F1 score of 0.98 on the test set, accurately identifying spelling errors in Icelandic text.
DistilBERT-based
Utilizes the lightweight DistilBERT architecture, maintaining high performance while reducing computational resource requirements.
Easy to use
Provides a standard Transformers pipeline interface for easy integration into existing text processing workflows.

Model Capabilities

Icelandic text analysis
Spelling error detection
Text quality assessment

Use Cases

Text proofreading
Document quality check
Automatically detects spelling errors in Icelandic documents
Improves document professionalism and accuracy
Content moderation
User-generated content moderation
Identifies spelling errors in Icelandic forums or social media content
Enhances platform content quality
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